PRICAI 2024 : trends in artificial intelligence : 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings. Part IV / Rafik Hadfi, Patricia Anthony, Alok Sharma, Takayuki Ito, Quan Bai, editors.
Material type:
TextSeries: Lecture notes in computer science. Lecture notes in artificial intelligence. | Lecture notes in computer science ; 15284. | LNCS sublibrary. SL 7, Artificial intelligence.Publisher: Singapore : Springer, [2025]Description: 1 online resource (xxiv, 443 pages) : illustrations (some color)Content type: - text
- computer
- online resource
- 9789819601257
- 9819601258
- 006.3 23/eng/20241121
- Q334
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Computer Vision. -- Query-Efficient Stealing Attacks Against Image Encoders. -- WFSFA-Net: Weighted Feature Supplementation and Cross-modal Feature Alignment for Visible-Infrared Person Re-Identification. -- JaPOC: Japanese Post-OCR Correction Benchmark using Vouchers. -- Viewpoint Modeling with Multi-Task Learning for Vehicle Re-Identification. -- Optimal Illumination Distance Metrics for Person Re-identification. -- Video-Audio Multimodal Fall Detection Method in Challenging Conditions. -- Space-View Decoupled 3D Gaussians for Novel-View Synthesis of Mirror Reflections. -- Multi-Scale Traffic Camera Image Detection Network Based on Improved YOLOv8. -- Node-level lymph node automatic segmentation in CT images using deep parallel structure-related 3D U-net variant. -- Prior Mask-Guided Highly Accurate Dichotomous Image Segmentation. -- Text to Image Generation Based on Adaptive Attention. -- TEBN: Texture-Enhanced Branching Network for Fine-Grained Tea Classification. -- Splitting Objectives: A Method for Improving Training Process of Image Generation Models. -- YOLO-SOD: Improved YOLO Small Object detection. -- Sparse Context Transformer for Few-Shot Object Detection. -- RSANet: Relationship-aware Symmetric Alignment Network for Fine-grained Video-Text Retrieval. -- UDUIE: Unpaired Domain-Irrelevant Underwater Image Enhancement. -- Zero-shot Referring Image Segmentation with Hierarchical Prompts and Frequency Domain Fusion. -- Autonomous Driving. -- Enhance Statistical Features with Changepoint Detection for Driver Behaviour Analysis. -- MSAN: Multi-Scale Adaptive Network Guided by Human Attention for Accident Prediction. -- S2A-Attention for Multimodal 3D Semantic Segmentation Using LiDAR and Cameras in Autonomous Driving. -- Agents and Multiagent Systems. -- Automated Negotiation Mechanisms for Autonomous Vehicles at Intersections. -- Enhancing the Efficiency of Systems with Overlapping Coalition Formation. -- Incentive Mechanism Design for ROI-Constrained Auto-Bidding. -- Knowledge Graphs. -- Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion. -- TeMME: Temporal Knowledge Graph Completion using Multi-grade Multivector Embeddings. -- Highway Gates Dynamic Adaptation Network For Knowledge Graph Entity Alignment. -- Speech Processing. -- Low-Resource VITS-Based Emotion Speech Synthesis Using KNN Algorithm. -- MSCACodec : A Low-rate Neural Speech Codec With Multi-scale Residual Channel Attention. -- Expressive Speech Synthesis Enhancement with Conditional Embeddings. -- Integrating Voice Activity Detection to Enhance Robustness of On-Device Speaker Verification. -- Spoofing Speech Detection Method Based on Self-Supervised Front End and Feature Enhancement. -- Optimization. -- Iterative Fine-grained Genetic Algorithm for Inferring Connection Weights in large-scale Biophysical Mouse V1 model. -- An Improved Multi-objective Particle Swarm Optimization Algorithm with Reduced Initial Search Space. -- Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation. -- Robust portfolio optimization for recommender systems considering uncertainty of estimated statistics.
The five-volume proceedings set LNAI 15281-15285, constitutes the refereed proceedings of the 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, held in Kyoto, Japan, in November 18-24, 2024. The 145 full papers and 35 short papers included in this book were carefully reviewed and selected from 543 submissions. The papers are organized in the following topical sections: Part I: Machine Learning, Deep Learning Part II: Deep Learning, Federated Learning, Generative AI, Natural Language Processing, Large Language Models, Part III: Large Language Models, Computer Vision Part IV: Computer Vision, Autonomous Driving, Agents and Multiagent Systems, Knowledge Graphs, Speech Processing, Optimization Part V: Optimization, General Applications, Medical Applications, Theoretical Foundations of AI.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed November 21, 2024).